☛ PUBLICATION
Submitted papers will be strictly reviewed by technical committee. Accepted papers will be included into Conference Proceedings, which will be submitted for indexing by Ei Compendex and Scopus. The authors of the papers will be invited to participate in the ACMLC 2026 to display their research results.

☛ CALL FOR PAPERS
Authors are invited to submit full papers describing original research work in areas including, but not limited to:
TRACK 1: Large Language Model Agents Theory and Applications
Multimodal LLM Agents: Vision-language-audio integrated agent systems
Agent Planning and Reasoning: Task decomposition, path planning, and logical reasoning with large models
Tool Use and API Integration: External tool invocation and system integration capabilities for agents
Multi-Agent Collaboration: Large model-driven multi-agent coordination and cooperation mechanisms
Agent Safety and Alignment: Safety assurance and value alignment for trustworthy AI agents
Domain-Specific Agents: Specialized agents for vertical domains such as healthcare, finance, and education
Agent Evaluation and Benchmarking: Capability assessment frameworks and standardized testing for intelligent agents
Agent Memory and Learning: Long-term memory systems and continual learning for persistent agents
Human-Agent Interaction: Natural language interfaces and interaction design for AI agents
Agent Architecture and Infrastructure: Scalable frameworks and platforms for deploying LLM agents

TRACK 2: Social Computing and Human-AI Collaboration

Computational Social Science: Simulation, prediction, and modeling of social phenomena and communities
Human-AI Collaboration Patterns: Workflow design for AI agent and human cooperation
Social Network Dynamics: Behavioral pattern mining and analysis in large-scale social networks
Collective Intelligence: Group decision-making, crowdsourcing, and distributed problem-solving systems
Agent-Driven Social Modeling: Using AI agents for social behavior analysis and human preference learning
Social Media and Cultural Computing: Content analysis, sentiment analysis, cross-cultural AI systems, and bias mitigation
AI Ethics and Social Impact: Research on AI systems’ effects on social structures, relationships, and equity
Explainable and Socially-Aware AI: Interpretable AI systems that understand and adapt to social contexts
Digital Governance and Policy: AI applications in public administration, policy-making, and social governance
Social Robotics and Interaction: Human-robot interaction in social and collaborative contexts
Digital Humanities: AI applications in humanities research and cultural heritage preservation
For details about topics, please visit at http://www.acmlc.org/topics.html

☛ SUBMISSION
1. Full Paper (Publication and Presentation)
2. Abstract (Presentation Only)

For full paper(.pdf), please upload to https://www.zmeeting.org/submission/ACMLC2026
For abstract, please send it to acmlc@iacsitp.com
More details about submission, please visit at http://www.acmlc.org/submission.html

☛ CONTACT
Mary Zhan (Conference Secretary)
Tel.: +86-186-2405-8113 (10:00AM to 5:00PM, GMT+8)
E-mail: acmlc@iacsitp.com